Adaptive Goods Transport Routing Using Real-Time Condition Tracking
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Solution Overview
Problem
Existing systems for monitoring and ensuring transport conditions of valuable or special goods are prone to human error and often fail to detect deviations until it's too late, affecting the quality of the goods.
Innovation Solution
A system and method using intelligent trackers and a central management system to monitor transport conditions in real time, adapt routes dynamically based on current and forecasted data to ensure predefined conditions are met, involving a trained algorithm to predict and adjust transport plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspections and routine monitoring are used to check transport conditions, then human control is maintained, but human error occurs and control becomes cumbersome
Solution Approach 1:
The monitoring system performs self-service by automatically collecting transport condition data through sensors, processing information through algorithms, and generating route adaptations without human intervention. The system monitors itself and autonomously makes decisions to maintain transport conditions, eliminating the need for cumbersome manual inspections while ensuring reliable verification through continuous automated tracking.
2Measurement precision
If intelligent trackers are deployed to monitor transport conditions in real time, then detection capability is improved, but notification delay occurs when transport conditions are not satisfied
Solution Approach 1:
The system performs preliminary action by continuously monitoring transport conditions and predicting potential deviations before they occur. The algorithm analyzes current data trends and forecasts future transport conditions, allowing the system to proactively adjust routes in advance of actual condition failures. This predictive approach eliminates notification delays by acting preemptively rather than reactively.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from trackers is constantly fed back to the central management system. The algorithm processes this feedback in real-time, compares actual conditions against target values, and automatically triggers route adaptations when deviations are detected or predicted. This closed-loop feedback mechanism ensures immediate response to transport condition changes without time loss.
3Device complexity
If a fixed route plan is established for goods transport, then planning simplicity is maintained, but adaptability to changing transport conditions is reduced
Solution Approach 1:
The route plan transitions from a static fixed plan to a dynamic adaptive plan. The system continuously receives real-time transport condition data from trackers and automatically adjusts the route plan based on current conditions and predictive algorithms. The route plan becomes a living document that evolves with changing conditions, maintaining simplicity through automated management while achieving high adaptability through continuous optimization.
Solution Approach 2:
The system changes key parameters of the route plan dynamically, including geographic coordinates, timing schedules, and intermediate stops. When transport conditions deviate from target values or are predicted to do so, the algorithm automatically modifies route parameters to restore compliance. This parameter-based adaptability allows the system to respond flexibly to changing conditions while maintaining overall plan structure through automated parameter adjustment rather than complete plan redesign.
Data Source
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AI summary
The invention relates to a system (100) and a method (200) for managing a transport of goods (130,131) from a position of origin (A1) to a position of destination (AN), said system (100) comprising: - a central management system (110) configured for determining a first route plan according to which said goods (130,131) have to be transported from said origin position (A1) to said destination position (AN); - at least one tracker (120, 121) configured for monitoring or measuring, in real time, during the transport of said goods (130,131) from said position of origin to said position of destination, a current value of a transport condition for said goods, and for remotely providing to said central management system (110), in real time, said current value and a current position of the tracker (120, 121); the system (100) being characterized in that its central management system (110) is configured for determining, during the transport of said goods from the origin position to the destination position, whether a target value for the transport condition is going to be met or not for a next one of said successive positions, and, in the negative, for automatically adapting said first route by calculating a diverging position (Ai) on said first route and determining a second route plan replacing the first route plan from said diverging position (Ai) until said destination position (AN) and according to which said goods have to be transported until said destination position (AN).